• Generative AI Boosting Developer Productivity

  • 2023/07/23
  • 再生時間: 2 分
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Generative AI Boosting Developer Productivity

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  • Hi there, Today I will share how Generative AI models like ChatGPT are transforming software development. A McKinsey study found that generative AI tools can help developers complete certain programming tasks almost twice as fast. For example, documenting and commenting code took half the time with AI assistance. Writing new code from scratch was 46% faster. And optimizing existing code was 65% faster with the AI tools. These are huge potential gains in productivity. However, the study found the boost was lower for more complex tasks or for junior developers. The AI tools helped senior developers tackle unfamiliar problems 25-30% faster though. The tools also significantly improved the developer experience. Coders reported feeling happier, more fulfilled and “in flow” when using the AI assistants. This is because the tools automated repetitive tasks and provided helpful information quickly. But the study also highlighted some risks and limitations of generative AI for coding. The AI tools sometimes made erroneous recommendations that developers had to double check and fix. The AI didn’t have insight into the organizational context and requirements needed to ensure high quality code. And the AI struggled with more intricate coding tasks that required a big picture view. The opportunity here is for developers actively collaborate with the AI, provide the necessary prompts and context, and review the AI-generated code. Proper training and coaching is key to ensure safe and effective use of these powerful new tools. Overall, AI has incredible potential to boost developer productivity, free up capacity, and improve the engineering experience. But engineering leaders need a thoughtful approach to realize the benefits while managing risks. This includes extensive developer training, expanding use cases beyond just code generation, planning for skill shifts, and implementing governance controls. AI-powered coding is here, but thoughtful human guidance is still essential. See you next time and Stay Human. http://www.nownextlater.ai

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あらすじ・解説

Hi there, Today I will share how Generative AI models like ChatGPT are transforming software development. A McKinsey study found that generative AI tools can help developers complete certain programming tasks almost twice as fast. For example, documenting and commenting code took half the time with AI assistance. Writing new code from scratch was 46% faster. And optimizing existing code was 65% faster with the AI tools. These are huge potential gains in productivity. However, the study found the boost was lower for more complex tasks or for junior developers. The AI tools helped senior developers tackle unfamiliar problems 25-30% faster though. The tools also significantly improved the developer experience. Coders reported feeling happier, more fulfilled and “in flow” when using the AI assistants. This is because the tools automated repetitive tasks and provided helpful information quickly. But the study also highlighted some risks and limitations of generative AI for coding. The AI tools sometimes made erroneous recommendations that developers had to double check and fix. The AI didn’t have insight into the organizational context and requirements needed to ensure high quality code. And the AI struggled with more intricate coding tasks that required a big picture view. The opportunity here is for developers actively collaborate with the AI, provide the necessary prompts and context, and review the AI-generated code. Proper training and coaching is key to ensure safe and effective use of these powerful new tools. Overall, AI has incredible potential to boost developer productivity, free up capacity, and improve the engineering experience. But engineering leaders need a thoughtful approach to realize the benefits while managing risks. This includes extensive developer training, expanding use cases beyond just code generation, planning for skill shifts, and implementing governance controls. AI-powered coding is here, but thoughtful human guidance is still essential. See you next time and Stay Human. http://www.nownextlater.ai

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